Are we AGI yet?
Source: Dev.to
If you’re confused about the weird grammar in the post title, I’m following the format of websites like Are we async yet, Are we learning yet, etc. You can view a list of such sites here if you think I’m making it up 😆
https://wiki.mozilla.org/Areweyet
Whether or not we have reached AGI is a topic of much debate. This article is meant to promote discussion and presents mostly my own opinions, so keep that in mind as you read.
Defining Some Terms
AI
Wikipedia concisely defines AI as “the simulation of intelligence as exhibited by software systems.”
Simple enough. But what is intelligence? Oxford Languages defines intelligence as “the ability to acquire and apply knowledge and skills.” Currently, AIs can’t train themselves (at least, not on a large scale), so any new knowledge they “acquire and apply” is ephemeral and disappears once it’s no longer in the context window. Oxford Languages defines artificial as “made or produced by human beings rather than occurring naturally, especially as a copy of something natural.”
I think of Artificial Intelligence as humans’ attempt to copy one facet of their humanness—their intelligence—into something non‑human. I say attempt because, just like artificial sweeteners can never perfectly clone sugar, I don’t believe artificial intelligence will ever become a perfect clone of human intelligence. Whether it can be better than human intelligence is beside the point (also, who’s to say what makes one intelligence “better” than another?); the point is, we can’t clone it.
To sum it up: AI is a simulation of human intelligence, but there is no standard on how accurate that simulation must be to be considered intelligence. This is where AGI comes in.
AGI
AGI stands for Artificial General Intelligence.
As mentioned, there’s no standard for how accurate the simulation of human intelligence (AI) must be to qualify as intelligence. In 2020, OpenAI launched GPT‑3; by today’s AI standards—or compared to an average human—it performed poorly, an inaccurate simulation. By 2026, with GPT‑5.2, the model has become a much more accurate simulation of human intelligence. In many fields, GPT outperforms or nearly clones human ability, but not in all fields—it still struggles with complex math, joke generation, and even counting letters in some words.
AGI is achieved when an artificial intelligence exists that is a near‑exact clone of human intelligence in general (all fields), not just in specific domains. In other words, once the simulation of human intelligence becomes near‑perfect (or better than human intelligence, though “better” is subjective) across all areas of cognition, we’ve reached AGI.
To sum it up: I basically rephrased what Wikipedia says (as of Feb 1 2026):
Artificial general intelligence (AGI) is a hypothetical type of artificial intelligence that would match or surpass human capabilities across virtually all cognitive tasks.
So, are we AGI yet?
As of Feb 1 2026, I’d say no. AI is evolving quickly, so we’ll see how long it takes for that assessment to change 😂
Current models don’t simulate human intelligence accurately enough. They might outperform humans at quickly writing essays (complete with made‑up sources, just like some humans do 🫠), but they still struggle with logic, counting, and other fundamental tasks.
I’m curious what you think! Please drop a comment with your thoughts about any part of this article; I would love to hear them.
Thanks for reading!